Abstract
Critical care nurses manage complex patient care interventions under dynamic, time-sensitive and constrained conditions, yet clinical decision support systems for nurses are limited compared with advanced practice healthcare providers. In this work, we study and analyze nurses' information-seeking behaviors to inform the development of a clinical decision support system that supports nurses. Nurses from an urban midwestern hospital were recruited to complete an online survey containing eight open-ended questions about resource utilization for various nursing tasks and open space for additional insights. Frequencies and percentages were calculated for resource type, bivariate analyses using Pearson's χ2 test were conducted for differences in resources utilization by years of experience, and content analysis of free text was completed. Forty-five nurses (response rate, 19.6%) identified 38 unique resources, which we organized into a resource taxonomy. Institutional applications were the most common type of resource used (35.6% of all responses) but accounted for only 15.4% of respondents' “go-to resources,” suggesting potential areas for improvement. Our findings highlight that knowing where to look for information, the existence of comprehensive information, and fast and easy retrieval of information are key resource seeking attributes that must be considered when designing a clinical decision support system.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 691-698 |
| Number of pages | 8 |
| Journal | CIN - Computers Informatics Nursing |
| Volume | 40 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 27 2022 |
Bibliographical note
Funding Information:This research and REDCap were supported by the National Institutes of Health's National Center for Advancing Translational Sciences, grants TL1R002493 and UL1TR002494. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health's National Center for Advancing Translational Sciences. This study was supported by the Office of the Vice President for Research, University of Minnesota and the University of Minnesota Grant-in-Aid (proposal 292917). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agency.
Publisher Copyright:
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.
Keywords
- Clinical decision support
- Information-seeking behavior
- Knowledge repository
- Nurse
- Nurse resource utilization